Generated Code
The following is python code generated by the CellML API from this CellML file. (Back to language selection)
The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 7
sizeStates = 4
sizeConstants = 11
from math import *
from numpy import *
def createLegends():
legend_states = [""] * sizeStates
legend_rates = [""] * sizeStates
legend_algebraic = [""] * sizeAlgebraic
legend_voi = ""
legend_constants = [""] * sizeConstants
legend_voi = "time in component environment (second)"
legend_constants[0] = "sigma in component parameters (dm)"
legend_constants[1] = "CNG_tot in component parameters (mole_per_dm_squared)"
legend_constants[2] = "CaM_tot in component parameters (mole_per_dm_cubed)"
legend_constants[3] = "km_CNG_0 in component parameters (per_second)"
legend_constants[4] = "km_CaM4 in component parameters (per_second)"
legend_constants[5] = "kp_CaM4 in component parameters (dm_6_per_second_per_mole_squared)"
legend_constants[6] = "kp_CNG_i in component parameters (dm_3_per_second_per_mole)"
legend_constants[7] = "km_CNG_i in component parameters (per_second)"
legend_constants[8] = "i_Ca in component parameters (per_second)"
legend_constants[9] = "k_Ca in component parameters (mole_per_dm_squared_per_second)"
legend_constants[10] = "K_Ca in component parameters (mole_per_dm_cubed)"
legend_algebraic[0] = "kp_act in component parameters (per_second)"
legend_states[0] = "CNG_o in component dCNG_o_dt (mole_per_dm_squared)"
legend_algebraic[1] = "CNG_o_normalized in component dCNG_o_dt (dimensionless)"
legend_states[1] = "CNG_i in component dCNG_i_dt (mole_per_dm_squared)"
legend_states[2] = "CaM4 in component dCaM4_dt (mole_per_dm_cubed)"
legend_states[3] = "Ca in component dCa_dt (mole_per_dm_cubed)"
legend_algebraic[2] = "Ca_normalized in component dCa_dt (dimensionless)"
legend_algebraic[3] = "CaM4_normalized in component dCaM4_dt (dimensionless)"
legend_algebraic[4] = "CNG_i_normalized in component dCNG_i_dt (dimensionless)"
legend_algebraic[5] = "CNG_c in component dCNG_c_dt (mole_per_dm_squared)"
legend_algebraic[6] = "CaM in component dCaM_dt (mole_per_dm_cubed)"
legend_rates[0] = "d/dt CNG_o in component dCNG_o_dt (mole_per_dm_squared)"
legend_rates[3] = "d/dt Ca in component dCa_dt (mole_per_dm_cubed)"
legend_rates[2] = "d/dt CaM4 in component dCaM4_dt (mole_per_dm_cubed)"
legend_rates[1] = "d/dt CNG_i in component dCNG_i_dt (mole_per_dm_squared)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 5e-7
constants[1] = 1.3e-13
constants[2] = 2e-5
constants[3] = 1e-2
constants[4] = 2.5
constants[5] = 1.1e9
constants[6] = 2.1e6
constants[7] = 3.4e-1
constants[8] = 2e4
constants[9] = 1e-10
constants[10] = 1.2e-7
states[0] = 0
states[1] = 0
states[2] = 0
states[3] = 0
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[3] = ((states[0]/constants[0])*constants[8]-((constants[9]/constants[0])*states[3])/(states[3]+constants[10]))-4.00000*(constants[5]*(power(states[3], 2.00000))*((constants[2]-states[2])-states[1]/constants[0])-constants[4]*states[2])
rates[2] = ((constants[5]*(power(states[3], 2.00000))*((constants[2]-states[2])-states[1]/constants[0])-constants[4]*states[2])-(constants[6]/constants[0])*states[2]*(constants[1]-states[0]))+(constants[7]/constants[0])*states[1]
rates[1] = -constants[7]*states[1]+constants[6]*states[2]*(constants[1]-states[1])
algebraic[0] = custom_piecewise([greater(voi , 0.100000) & less(voi , 0.200000), 5.50000 , greater(voi , 4.10000) & less(voi , 4.20000), 5.50000 , True, 1.60000e-05])
rates[0] = (algebraic[0]*((constants[1]-states[0])-states[1])-constants[3]*states[0])-constants[6]*states[0]*states[2]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = custom_piecewise([greater(voi , 0.100000) & less(voi , 0.200000), 5.50000 , greater(voi , 4.10000) & less(voi , 4.20000), 5.50000 , True, 1.60000e-05])
algebraic[1] = states[0]/constants[1]
algebraic[2] = states[3]*10000.0
algebraic[3] = states[2]/constants[2]
algebraic[4] = states[1]/constants[1]
algebraic[5] = (constants[1]-states[0])-states[1]
algebraic[6] = (constants[2]-states[2])-(1.00000/constants[0])*states[1]
return algebraic
def custom_piecewise(cases):
"""Compute result of a piecewise function"""
return select(cases[0::2],cases[1::2])
def solve_model():
"""Solve model with ODE solver"""
from scipy.integrate import ode
# Initialise constants and state variables
(init_states, constants) = initConsts()
# Set timespan to solve over
voi = linspace(0, 10, 500)
# Construct ODE object to solve
r = ode(computeRates)
r.set_integrator('vode', method='bdf', atol=1e-06, rtol=1e-06, max_step=1)
r.set_initial_value(init_states, voi[0])
r.set_f_params(constants)
# Solve model
states = array([[0.0] * len(voi)] * sizeStates)
states[:,0] = init_states
for (i,t) in enumerate(voi[1:]):
if r.successful():
r.integrate(t)
states[:,i+1] = r.y
else:
break
# Compute algebraic variables
algebraic = computeAlgebraic(constants, states, voi)
return (voi, states, algebraic)
def plot_model(voi, states, algebraic):
"""Plot variables against variable of integration"""
import pylab
(legend_states, legend_algebraic, legend_voi, legend_constants) = createLegends()
pylab.figure(1)
pylab.plot(voi,vstack((states,algebraic)).T)
pylab.xlabel(legend_voi)
pylab.legend(legend_states + legend_algebraic, loc='best')
pylab.show()
if __name__ == "__main__":
(voi, states, algebraic) = solve_model()
plot_model(voi, states, algebraic)
